- Simplify complex data tasks with tools for data preparation and custom table creation
- Leverage advanced techniques like bootstrapping and custom tables for detailed data analysis and
- Apply advanced statistical methods to uncover complex relationships and trends
- Predict future outcomes and trends
- Employ decision trees and neural networks to build predictive models that optimize outcomes
- Leverage predictive models to identify and target specific customer segments, maximizing campaign effectiveness and ROI
- Handle complex samples and address missing data to ensure accurate and reliable market research results
- Apply conjoint analysis and categorical data analysis to gain deep insights into consumer preferences and market segments
Turn data into growth—accelerate client acquisition, retention, and conversion
Leverage data insights to predict with precision.
Enable evidence-based data-driven healthcare
Transform complex incomplete data into accurate findings with ease
Jon K. Peck
IBM Champion
SPSS Statistics provides a comprehensive set of well tested data management, statistical and graphical procedures in an easy-to-use package. Its extensive Python and R APIs let users tap open source resources and integrate them seamlessly into SPSS. ”